Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (1): 54-59.doi: 10.1016/S1005-8885(14)60268-5

• Networks • Previous Articles     Next Articles

LB-AGR: level-based adaptive geo-routing for underwater sensor network

  

  1. 1. School of Computer Science, Qinghai Normal University, Xining 810008, China 2. Network Information Center, Qinghai Normal University, Xining 810008, China
  • Received:2013-08-16 Revised:2013-10-17 Online:2014-02-28 Published:2014-02-28
  • Contact: Xiujuan DU E-mail:duxiujuandxj@gmail.com
  • Supported by:

    This work was supported by the Program for New Century Excellent Talents in University of China (NCET-11-1025), the National Natural Science Foundation of China ( 61162003, 61163050, 6126104), Qinghai Office of Science and Technology (2012-Z-902), the National Basic Research Program of China (2011CB311809), the Natural Science Foundation of Tianjin (10JCYBJC00600 ).

Abstract:

Underwater sensor network (UWSN) adopts acoustic communication with more energy-consumption and longer propagation-delay, which bring great challenges to protocol design. In this paper, we proposed level-based adaptive geo-routing (LB-AGR) protocol. LB-AGR divides traffics into four categories, and routes different types of traffic in accordance with different decisions. Packets upstream to the sink are forwarded unicast to the best next-hop instead of broadcasting to all neighbor nodes as in present UWSN routing protocols. LB-AGR defines an integrated forwarding factor for each candidate node based on available energy, density, location, and level-difference between neighbor nodes, which is used to determine the best next-hop among multiple qualified candidates. Through simulation experiments, we show the promising performance of LB-AGR.

Key words:

UWSN, LB-AGR, node level, neighbor table